MachineLearning

• Logistic Regression

  • https://en.wikipedia.org/wiki/Logistic_regression
  • In statistics, the logistic model (or logit model) is used to model the probability of a certain class or event existing such as pass/fail, win/lose, alive/dead or healthy/sick. This can be extended to model several classes of events such as determining whether an image contains a cat, dog, lion, etc. Each object being detected in the image would be assigned a probability between 0 and 1 and the sum adding to one.

• Word2Vec

  • https://en.wikipedia.org/wiki/Word2vec
  • Word2vec is a group of related models that are used to produce word embeddings.

• Doc2Vec

  • Distributed Representations of Sentences and Documents
  • https://arxiv.org/pdf/1405.4053.pdf
  • Explain by Japanese : https://www.slideshare.net/TomofumiYoshida2/distributed-representations-of-sentences-and-documents-70011001
  • It is not extend algorithm of Word2Vec.

• LDA(Latent Dirichlet allocation)

  • One of topic modeling algorithm.
  • https://en.wikipedia.org/wiki/Latent_Dirichlet_allocation

• BERT

  • https://en.wikipedia.org/wiki/BERT_(language_model)